Exercise 11 Conduct a within-subject ANOVA to examine if women differ in their ratings of fear (DV) (low
Exercise 11
Conduct a within-subject ANOVA to examine if women differ in their ratings of fear (DV) (low fear, medium fear, high fear) by level of fatteningness (IV) of food (low fat, medium fat, high fat). Provide a write-up for the analysis along with the appropriate follow-up tests to understand the nature of your omnibus result. Please compare all levels of the IV to one another and provide your 95% CI for your pairwise contrasts examining fear by level of fatteningness. Provide your means and SD s in a table that you construct in APA format – see publication manual if needed ).
Remember for within-subject
- Reporting partial eta squared is appropriate
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Each participant has a score on the DV for each level of the IV
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For each DV, each participant has a variable in the data set corresponding to each level (factor) of the IV
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Fear
- Level of fat (low, medium, high).
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Fear
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For each DV, each participant has a variable in the data set corresponding to each level (factor) of the IV
Included below are important slides from the power point to help you in your analysis:
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ANALYZE – GENERAL LINEAR MODEL – REPEATED MEASURES
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Name the factor and specify # of levels, click define
- Can put in multiple factors
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Move the levels over to the Within-Subjects Variables box
- Can have between subjects factors as well
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Contrasts
- Deviation, Simple, Difference, Helmert, Repeated, Polynomial
- Reference Category
- Plots
- Post hoc for Between-Subject Factors – Tukey’s
- Options – Display means, descriptives, effect size
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Name the factor and specify # of levels, click define
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Output
- Means, Standard deviations, participants
- Ignore Multivariate Tests
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Sphericity assumptions
- Go with Greenhouse-Geisser
- Test of Within-Subjects Effects
- Test of Within-Subjects Contrasts
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Tests of Between-Subjects Effects
- Ignore, unless included a between subjects variable
- I’ve included a Mixed within-between MANOVA example and a Mixed within-between univariate ANOVA example analysis below. You can use these examples to help guide you in your APA write-up of the within-subject ANOVA you are conducting in this exercise.
A 3 × 2 mixed between-within-subjects multivariate analysis of variance (MANOVA) was conducted on four dependent variables: frequency of consumption, fear/guilt, appeal, and number of feared foods. The within-subjects independent variable was perceived level of fatteningness (low, medium, and high) and the between-subjects independent variable was dieting status (dieter, non-dieter).
Mixed between-within-subjects analyses of variance (ANOVAs) were conducted to compare dieters to non-dieters for the three levels of fatteningness for the various dependent variables described above. Subsequent pairwise contrasts following ANOVAs were conducted with alpha levels (0.05 used for all statistical tests) corrected with the Bonferroni procedure or Scheffe’s correction for multiple comparisons.
Deliverable: Word Document
